fitness: Get the fitness of a variable subset

In gaselect: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data

Get the fitness of a variable subset

Description

Get the internal fitness for all variable subsets

Usage

fitness(object)

Arguments

object

The GenAlg object returned by genAlg

Details

This method is used to get the fitness of all variable subsets found by the genetic algorithm.

Value

A vector with the estimated fitness for each solution

Examples

ctrl <- genAlgControl(populationSize = 100, numGenerations = 15, minVariables = 5,
    maxVariables = 12, verbosity = 1)

evaluator <- evaluatorPLS(numReplications = 2, innerSegments = 7, testSetSize = 0.4,
    numThreads = 1)

# Generate demo-data
set.seed(12345)
X <- matrix(rnorm(10000, sd = 1:5), ncol = 50, byrow = TRUE)
y <- drop(-1.2 + rowSums(X[, seq(1, 43, length = 8)]) + rnorm(nrow(X), 1.5));

result <- genAlg(y, X, control = ctrl, evaluator = evaluator, seed = 123)

fitness(result) # Get fitness of the found subsets

h <- fitnessEvolution(result) # Get average fitness as well as the fitness of the
                              # best chromosome for each generation (at raw scale!)

plot(h[, "mean"], type = "l", col = 1, ylim = c(-7, -1))
lines(h[, "mean"] - h[, "std.dev"], type = "l", col = "gray30", lty = 2)
lines(h[, "mean"] + h[, "std.dev"], type = "l", col = "gray30", lty = 2)
lines(h[, "best"], type = "l", col = 2)

gaselect documentation built on Feb. 16, 2023, 6:14 p.m.